Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

The Power Flow Problem and Solution

The Power Flow Problem and Solution

Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk, phase angle δk, real power Pk, and reactive power Qk. Two of these four variables are inputs, while the...

Fast Decoupled and DC Powerflow

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

Maximum Power Flow and Line Loadability

Maximum Power Flow and Line Loadability

The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.

Multimachine Stability

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

Collisions in Multiple Dimensions: Problem Solving

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Hybrid attention-RNN and HMM framework for reliable high-speed arterial vs. urban road classification under degraded GPS conditions.

Scientific reports·2026

Same author

Deep Actor-Critic Reinforcement Learning (DA-CRL) based multi-objective optimal control of solar PV integrated UPQC for power quality enhancement in smart distribution networks.

Scientific reports·2026

Same author

Enhancing MTC device security in LTE networks for the fast and secure BC-based group handover authentication protocol.

Scientific reports·2026

Same author

Hybrid Deep Learning for Brain Tumor Detection: Combining DenseNet and Custom CNN for Enhanced Accuracy.

Biomedical engineering and computational biology·2025

Same author

FFO-based controller for 3-phase inverter to reduce power quality problems in PV-integrated microgrid system.

PloS one·2025

Same author

Efficiency of a smart parking system in privacy-preserving using multi transaction mode consortium blockchain.

Scientific reports·2025

Search research articles

Related Experiment Video

Updated: Jun 8, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

Multiobjective optimal power flow solutions using nondominated sorting colliding bodies optimization.

Harish Pulluri¹, Kambhampati Venkata Govardhan Rao², Cholleti Sriram³

¹Department of Electrical and Electronics Engineering, Anurag University, Hyderabad, 500088, Telangana, India.

Scientific Reports

|November 4, 2024

Summary

A new nondominated sorting colliding bodies optimization (NSCBO) method effectively solves multiobjective optimal power flow problems in electrical grids. It generates diverse, non-dominated solutions for improved power system optimization.

Keywords:

Colliding bodies optimization Emission pollution Heuristic technique Objective optimization Total production cost

More Related Videos

Design and Optimization Strategies of a High-Performance Vented Box

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Related Experiment Videos

Last Updated: Jun 8, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

Design and Optimization Strategies of a High-Performance Vented Box

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Area of Science:

Electrical Engineering
Optimization Theory
Computational Intelligence

Background:

Multiobjective optimal power flow (MOOPF) problems are critical for efficient electrical power network operation.
Existing optimization techniques often struggle with generating diverse nondominated solutions for complex MOOPF challenges.

Purpose of the Study:

To introduce an innovative nondominated sorting colliding bodies optimization (NSCBO) technique for MOOPF problems.
To enhance the generation of diverse nondominated solutions and improve the selection process.

Main Methods:

The NSCBO method incorporates nondominated sorting and crowding distance for solution diversity.
Colliding body mass is determined by nondominated rank, not objective function values.
A fuzzy decision-making strategy is used to select the final solution from the nondominated set.

Main Results:

The NSCBO technique successfully generated a diverse set of nondominated solutions in a single iteration.
Experiments on the IEEE 30-bus system (bi- and tri-objective models) demonstrated scalability and viability.
Comparative analysis confirmed the efficacy of NSCBO in handling constraints and deriving optimal solutions.

Conclusions:

The proposed NSCBO method is an effective and efficient approach for solving complex MOOPF problems.
NSCBO offers a robust framework for achieving a balance between solution diversity and computational efficiency in power systems.